Applied Machine Learning 2025 - Useful Python ML packages
Writing your own ML algorithm from scratch is hard work, and not what this course is about. Rather, one should be using appropriate packages.
Below is a list of those considered useful/important for the course, but you will surely also be using others (your own favorites).
General Packages:
numpy
matplotlib
scipy
h5py
pandas
seaborn
ML Packages:
scikit-learn
xgboost
lightgbm
tensorflow
pytorch
pytorch_geometric
These packages (with explicit versions) can also be found in this
requirements file.
Last updated: 15th of April 2025 by Troels Petersen.